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Trouble with Applying a Linear Regression Model with Nominal Attribute
Hi there,
I build a linear regression model with nominal attribute converted to numerical attribute (e.g. SMOKE=0, SMOKE=1). I tried both effect encoding and dummy encoding. Then I tried applying this model to a testing dataset in which the value of SMOKE attribute in all observations is 0. Rapidminer says "attributes do not match". How can I solve this?
Thanks!
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OptionsMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,507 RM Data ScientistHi,
you need to apply the preprocessing model you get from your first Nominal to Numerical operator. This will ensure to have the same data structure.
Best,
Martin- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany0
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Thank you!
Sorry for the late reply. I did not receive any email notification.